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We investigate hydrodynamic noise in a dilute granular gas during the homogeneous cooling state, by means of a proper application of the Direct Simulation Monte Carlo (DSMC) algorithm. The DSMC includes a source of randomization which is…

软凝聚态物质 · 物理学 2010-09-27 Giulio Costantini , Andrea Puglisi

Dynamic Monte Carlo simulations are used to study coupled transport (co-transport) through sub-nanometer-diameter pores. In this classic Hodgkin-Keynes mechanism, an ion species uses the large flux of an abundant ion species to move against…

软凝聚态物质 · 物理学 2013-11-27 Dezső Boda , Éva Csányi , Dirk Gillespie , Tamás Kristóf

The present study addresses the challenge of enhancing computational efficiency without compromising accuracy in numerical simulations of vacuum gas dynamics using the direct simulation Monte Carlo (DSMC) method. A technique termed "fixed…

流体动力学 · 物理学 2024-07-03 Moslem Sabouri , Ramin Zakeri , Amin Ebrahimi

Kinetic equations model the position-velocity distribution of particles subject to transport and collision effects. Under a diffusive scaling, these combined effects converge to a diffusion equation for the position density in the limit of…

数值分析 · 数学 2023-07-26 Emil Løvbak , Giovanni Samaey

Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random processes instead of…

最优化与控制 · 数学 2020-07-09 Yiwei Qiu , Jin Lin , Xiaoshuang Chen , Feng Liu , Yonghua Song

A parallelized hybrid Monte Carlo (HMC) methodology is devised to quantify the microstructural evolution of polycrystalline material under elastic loading. The approach combines a time explicit material point method (MPM) for the mechanical…

材料科学 · 物理学 2010-09-03 Liangzhe Zhang , Timothy Bartel , Mark T. Lusk

Load balancing is critical for successful large-scale high-performance computing (HPC) simulations. With modern supercomputers increasing in complexity and variability, dynamic load balancing is becoming more critical to use computational…

分布式、并行与集群计算 · 计算机科学 2025-07-29 Amitash Nanda , Md Kamal Hossain Chowdhury , Hannah Ross , Kevin Gott

We propose a simulation-based approach for performance modeling of parallel applications on high-performance computing platforms. Our approach enables full-system performance modeling: (1) the hardware platform is represented by an abstract…

分布式、并行与集群计算 · 计算机科学 2020-11-06 Gen Xu , Huda Ibeid , Xin Jiang , Vjekoslav Svilan , Zhaojuan Bian

The paper proposes a solution an actual scientific problem related to load balancing and efficient utilization of resources of the distributed system. The proposed method is based on calculation of load CPU, memory, and bandwidth by flows…

分布式、并行与集群计算 · 计算机科学 2019-04-11 Kirichenko Lyudmyla , Radivilova Tamara

Simulating hypersonic flow around a space vehicle is challenging because of the multiscale and nonequilibrium nature inherent in these flows. To effectively deal with such flows, a novel particle particle hybrid scheme combining the…

流体动力学 · 物理学 2022-10-19 Fei Fei , Yuan Hu , Patrick Jenny

In the wake of the intense effort made for the experimental CILEX project, numerical simulation cam- paigns have been carried out in order to finalize the design of the facility and to identify optimal laser and plasma parameters. These…

计算物理 · 物理学 2016-04-20 Arnaud Beck , Jacob Trier Frederiksen , Julien Dérouillat

Monte Carlo simulation provides a powerful tool for understanding and exploring thermodynamic phase equilibria in many-particle interacting systems. Among the most physically intuitive simulation methods is Gibbs ensemble Monte Carlo…

统计力学 · 物理学 2015-06-12 Alan R. Denton , Michael P. Schmidt

We describe here a model for inelastic collisions for electronic excitation and deexcitation processes in a general, multifluid plasma. The model is derived from kinetic theory, and applicable to any mixture and mass ratio. The principle of…

等离子体物理 · 物理学 2015-10-08 H. P. Le , J. -L. Cambier

The direct simulation Monte Carlo (DSMC) method is a widely used stochastic particle approach to solving the Boltzmann equation. However, its computational cost remains a major drawback, which can be attributed to statistical errors when…

流体动力学 · 物理学 2024-07-12 Takehiro Shiraishi , Ikuya Kinefuchi

In recent years, power analysis has become widely used in applied sciences, with the increasing importance of the replicability issue. When distribution-free methods, such as Partial Least Squares (PLS)-based approaches, are considered,…

统计方法学 · 统计学 2024-03-18 Angela Andreella , Livio Fino , Bruno Scarpa , Matteo Stocchero

Multi-species modeling is implemented for the particle-based ellipsoidal statistical Bhatnagar-Gross-Krook (ESBGK) for monatomic species in the open-source plasma simulation suite PICLas. After a literature review on available multi-species…

计算物理 · 物理学 2022-02-28 Marcel Pfeiffer , Asim Mirza , Paul Nizenkov

We use the Direct Simulation Monte Carlo (DSMC) method combined with an n-body code to study the dynamics of the interaction between a gas-rich spiral galaxy and intracluster or intragroup medium, often known as the ram pressure scenario.…

宇宙学与河外天体物理 · 物理学 2015-06-15 Martin D. Weinberg

Monte Carlo simulations using a hybrid quantum and classical mechanical potential were performed for crystal and amorphous-like HCl-water(n) clusters The subsystem composed by HCl and one water molecule was treated within Density Functional…

化学物理 · 物理学 2009-10-30 Dario A. Estrin , Jorge Kohanoff , Daniel H. Laria , Ruben O. Weht

The task of accurately locating fluid phase boundaries by means of computer simulation is hampered by problems associated with sampling both coexisting phases in a single simulation run. We explain the physical background to these problems…

统计力学 · 物理学 2009-11-07 N. B. Wilding

In molecular simulations, efficient methods for investigating equilibration and slow relaxation in dense systems are crucial yet challenging. This study focuses on the diffusional characteristics of monodisperse hard disk systems at…

软凝聚态物质 · 物理学 2024-10-21 Daigo Mugita , Masaharu Isobe